---
title: Essential Examples
weight: 1200
partition: ecosystem
---
# Integration Examples
*Step-by-step guides for connecting Qdrant to the broader AI ecosystem and data stacks.*
| Tutorial | Objective | Stack | Time | Level |
| :--- | :--- | :--- | :--- | :--- |
| [5-Minute RAG with DeepSeek](/documentation/tutorials-build-essentials/rag-deepseek/) | Build a RAG pipeline with DeepSeek enrichment. | Python | 5m | Beginner |
| [Agentic RAG with CrewAI](/documentation/tutorials-build-essentials/agentic-rag-crewai-zoom/) | Step-by-step multi-agent RAG system. | CrewAI | 45m | Beginner |
| [n8n Workflow Automation](/documentation/tutorials-build-essentials/qdrant-n8n/) | Combine Qdrant with low-code n8n workflows. | n8n | 45m | Intermediate |
| [Discord RAG Bot](/documentation/tutorials-build-essentials/agentic-rag-camelai-discord/) | Develop a functional bot with CAMEL-AI. | OpenAI | 45m | Intermediate |
| [Video Anomaly Detection Part 1](/documentation/tutorials-build-essentials/video-anomaly-edge-part-1/) | Architecture, Twelve Labs, and NVIDIA VSS integration. | Python | 90m | Advanced |
| [Video Anomaly Detection Part 2](/documentation/tutorials-build-essentials/video-anomaly-edge-part-2/) | Two-shard Qdrant Edge architecture and escalation pipeline. | Python | 90m | Advanced |
| [Video Anomaly Detection Part 3](/documentation/tutorials-build-essentials/video-anomaly-edge-part-3/) | Scoring, baseline governance, and deployment on Vultr. | Python | 90m | Advanced |